Overview

Dataset statistics

Number of variables22
Number of observations4198
Missing cells8387
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory721.7 KiB
Average record size in memory176.0 B

Variable types

DateTime1
Numeric21

Warnings

open is highly correlated with high and 8 other fieldsHigh correlation
high is highly correlated with open and 8 other fieldsHigh correlation
low is highly correlated with open and 8 other fieldsHigh correlation
close is highly correlated with open and 8 other fieldsHigh correlation
BB_MIDDLE is highly correlated with open and 8 other fieldsHigh correlation
BB_UPPER is highly correlated with open and 8 other fieldsHigh correlation
BB_LOWER is highly correlated with open and 8 other fieldsHigh correlation
MACD is highly correlated with MACD_signal and 4 other fieldsHigh correlation
MACD_signal is highly correlated with MACD and 1 other fieldsHigh correlation
RSI is highly correlated with MACD and 5 other fieldsHigh correlation
BBp is highly correlated with RSI and 4 other fieldsHigh correlation
DMIp is highly correlated with RSI and 4 other fieldsHigh correlation
DMIm is highly correlated with MACD and 5 other fieldsHigh correlation
STOCH_K is highly correlated with RSI and 4 other fieldsHigh correlation
STOCH_D is highly correlated with RSI and 4 other fieldsHigh correlation
OBV is highly correlated with open and 8 other fieldsHigh correlation
buy@ is highly correlated with open and 8 other fieldsHigh correlation
sell@ is highly correlated with open and 9 other fieldsHigh correlation
open is highly correlated with high and 8 other fieldsHigh correlation
high is highly correlated with open and 8 other fieldsHigh correlation
low is highly correlated with open and 8 other fieldsHigh correlation
close is highly correlated with open and 8 other fieldsHigh correlation
volume is highly correlated with BBWIDTHHigh correlation
BB_MIDDLE is highly correlated with open and 8 other fieldsHigh correlation
BB_UPPER is highly correlated with open and 8 other fieldsHigh correlation
BB_LOWER is highly correlated with open and 8 other fieldsHigh correlation
BBWIDTH is highly correlated with volumeHigh correlation
MACD is highly correlated with MACD_signal and 6 other fieldsHigh correlation
MACD_signal is highly correlated with MACD and 3 other fieldsHigh correlation
RSI is highly correlated with MACD and 6 other fieldsHigh correlation
BBp is highly correlated with MACD and 5 other fieldsHigh correlation
DMIp is highly correlated with MACD and 6 other fieldsHigh correlation
DMIm is highly correlated with MACD and 6 other fieldsHigh correlation
STOCH_K is highly correlated with RSI and 4 other fieldsHigh correlation
STOCH_D is highly correlated with MACD and 5 other fieldsHigh correlation
OBV is highly correlated with open and 8 other fieldsHigh correlation
buy@ is highly correlated with open and 7 other fieldsHigh correlation
sell@ is highly correlated with open and 8 other fieldsHigh correlation
open is highly correlated with high and 8 other fieldsHigh correlation
high is highly correlated with open and 8 other fieldsHigh correlation
low is highly correlated with open and 8 other fieldsHigh correlation
close is highly correlated with open and 8 other fieldsHigh correlation
BB_MIDDLE is highly correlated with open and 8 other fieldsHigh correlation
BB_UPPER is highly correlated with open and 8 other fieldsHigh correlation
BB_LOWER is highly correlated with open and 8 other fieldsHigh correlation
MACD is highly correlated with MACD_signal and 3 other fieldsHigh correlation
MACD_signal is highly correlated with MACDHigh correlation
RSI is highly correlated with MACD and 5 other fieldsHigh correlation
BBp is highly correlated with RSI and 4 other fieldsHigh correlation
DMIp is highly correlated with MACD and 2 other fieldsHigh correlation
DMIm is highly correlated with MACD and 2 other fieldsHigh correlation
STOCH_K is highly correlated with RSI and 2 other fieldsHigh correlation
STOCH_D is highly correlated with RSI and 2 other fieldsHigh correlation
OBV is highly correlated with open and 8 other fieldsHigh correlation
buy@ is highly correlated with open and 7 other fieldsHigh correlation
sell@ is highly correlated with open and 7 other fieldsHigh correlation
BB_UPPER is highly correlated with BB_MIDDLE and 11 other fieldsHigh correlation
BB_MIDDLE is highly correlated with BB_UPPER and 11 other fieldsHigh correlation
DMIp is highly correlated with MACD and 6 other fieldsHigh correlation
open is highly correlated with BB_UPPER and 11 other fieldsHigh correlation
MACD is highly correlated with BB_UPPER and 14 other fieldsHigh correlation
RSI is highly correlated with DMIp and 6 other fieldsHigh correlation
STOCH_K is highly correlated with DMIp and 4 other fieldsHigh correlation
sell@ is highly correlated with BB_UPPER and 10 other fieldsHigh correlation
MACD_signal is highly correlated with BB_UPPER and 14 other fieldsHigh correlation
buy@ is highly correlated with BB_UPPER and 9 other fieldsHigh correlation
ADX is highly correlated with MACD_signalHigh correlation
low is highly correlated with BB_UPPER and 10 other fieldsHigh correlation
high is highly correlated with BB_UPPER and 11 other fieldsHigh correlation
OBV is highly correlated with BB_UPPER and 11 other fieldsHigh correlation
BBWIDTH is highly correlated with BB_UPPER and 12 other fieldsHigh correlation
BBp is highly correlated with DMIp and 4 other fieldsHigh correlation
DMIm is highly correlated with DMIp and 7 other fieldsHigh correlation
volume is highly correlated with BBWIDTHHigh correlation
BB_LOWER is highly correlated with BB_UPPER and 11 other fieldsHigh correlation
close is highly correlated with BB_UPPER and 11 other fieldsHigh correlation
STOCH_D is highly correlated with DMIp and 4 other fieldsHigh correlation
buy@ has 4114 (98.0%) missing values Missing
sell@ has 4107 (97.8%) missing values Missing
datetime has unique values Unique
volume has unique values Unique
MACD has unique values Unique
MACD_signal has unique values Unique

Reproduction

Analysis started2021-06-24 19:00:13.524517
Analysis finished2021-06-24 19:00:56.315674
Duration42.79 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

datetime
Date

UNIQUE

Distinct4198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size32.9 KiB
Minimum2019-07-25 22:00:00
Maximum2021-06-24 18:00:00
2021-06-24T21:00:56.372876image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:56.487912image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

open
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4188
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19359.8861
Minimum4565.63
Maximum64509.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:00:56.602348image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum4565.63
5-th percentile6955.2445
Q18843.945
median10332.825
Q328998.915
95-th percentile56846.0425
Maximum64509.48
Range59943.85
Interquartile range (IQR)20154.97

Descriptive statistics

Standard deviation16605.7069
Coefficient of variation (CV)0.8577378408
Kurtosis0.2634952799
Mean19359.8861
Median Absolute Deviation (MAD)2388.655
Skewness1.331345957
Sum81272801.86
Variance275749501.8
MonotonicityNot monotonic
2021-06-24T21:00:56.715372image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10785.232
 
< 0.1%
9152.162
 
< 0.1%
6730.012
 
< 0.1%
7297.912
 
< 0.1%
87152
 
< 0.1%
88002
 
< 0.1%
387002
 
< 0.1%
33505.152
 
< 0.1%
8134.892
 
< 0.1%
10706.562
 
< 0.1%
Other values (4178)4178
99.5%
ValueCountFrequency (%)
4565.631
< 0.1%
4789.991
< 0.1%
4800.011
< 0.1%
4942.51
< 0.1%
5028.861
< 0.1%
5141.481
< 0.1%
5144.531
< 0.1%
5148.731
< 0.1%
5159.091
< 0.1%
5172.481
< 0.1%
ValueCountFrequency (%)
64509.481
< 0.1%
64288.81
< 0.1%
63749.191
< 0.1%
63575.011
< 0.1%
63363.291
< 0.1%
63331.831
< 0.1%
63158.741
< 0.1%
63056.621
< 0.1%
63045.031
< 0.1%
62997.021
< 0.1%

high
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3972
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19605.41464
Minimum4950
Maximum64854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:00:56.832341image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum4950
5-th percentile7087.646
Q18935.4025
median10414.51
Q329296.25
95-th percentile57487.641
Maximum64854
Range59904
Interquartile range (IQR)20360.8475

Descriptive statistics

Standard deviation16853.62728
Coefficient of variation (CV)0.8596414609
Kurtosis0.2256438144
Mean19605.41464
Median Absolute Deviation (MAD)2416.36
Skewness1.32206133
Sum82303530.64
Variance284044752.5
MonotonicityNot monotonic
2021-06-24T21:00:56.940400image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102504
 
0.1%
98004
 
0.1%
97204
 
0.1%
73504
 
0.1%
94503
 
0.1%
109503
 
0.1%
102103
 
0.1%
92203
 
0.1%
87903
 
0.1%
93503
 
0.1%
Other values (3962)4164
99.2%
ValueCountFrequency (%)
49501
< 0.1%
50601
< 0.1%
51751
< 0.1%
52001
< 0.1%
52481
< 0.1%
5273.371
< 0.1%
5297.81
< 0.1%
5332.041
< 0.1%
53491
< 0.1%
5365.421
< 0.1%
ValueCountFrequency (%)
648541
< 0.1%
64787.981
< 0.1%
64640.581
< 0.1%
63869.991
< 0.1%
638001
< 0.1%
63777.771
< 0.1%
63764.621
< 0.1%
636661
< 0.1%
63657.861
< 0.1%
63573.021
< 0.1%

low
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3981
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19085.74212
Minimum3782.13
Maximum63605.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:00:57.052542image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum3782.13
5-th percentile6859.9385
Q18762.9525
median10265.26
Q328613.4275
95-th percentile56122.508
Maximum63605.85
Range59823.72
Interquartile range (IQR)19850.475

Descriptive statistics

Standard deviation16322.50114
Coefficient of variation (CV)0.8552196204
Kurtosis0.3075174874
Mean19085.74212
Median Absolute Deviation (MAD)2398.98
Skewness1.341837093
Sum80121945.44
Variance266424043.3
MonotonicityNot monotonic
2021-06-24T21:00:57.160030image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71505
 
0.1%
117005
 
0.1%
94005
 
0.1%
71004
 
0.1%
102004
 
0.1%
100604
 
0.1%
91254
 
0.1%
91204
 
0.1%
91514
 
0.1%
95003
 
0.1%
Other values (3971)4156
99.0%
ValueCountFrequency (%)
3782.131
< 0.1%
44101
< 0.1%
4442.121
< 0.1%
45001
< 0.1%
46741
< 0.1%
47781
< 0.1%
48071
< 0.1%
48201
< 0.1%
48281
< 0.1%
49201
< 0.1%
ValueCountFrequency (%)
63605.851
< 0.1%
63063.321
< 0.1%
63012.841
< 0.1%
62963.781
< 0.1%
62842.991
< 0.1%
62706.41
< 0.1%
62684.011
< 0.1%
625301
< 0.1%
625001
< 0.1%
62347.361
< 0.1%

close
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4187
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19365.90656
Minimum4565.59
Maximum64511.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:00:57.271734image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum4565.59
5-th percentile6955.236
Q18843.7925
median10333.65
Q329027.78
95-th percentile56846.0525
Maximum64511.21
Range59945.62
Interquartile range (IQR)20183.9875

Descriptive statistics

Standard deviation16606.83619
Coefficient of variation (CV)0.8575295011
Kurtosis0.2608774412
Mean19365.90656
Median Absolute Deviation (MAD)2390.485
Skewness1.330247489
Sum81298075.74
Variance275787008.2
MonotonicityNot monotonic
2021-06-24T21:00:57.504684image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9491.992
 
< 0.1%
82352
 
< 0.1%
387002
 
< 0.1%
9685.692
 
< 0.1%
19160.012
 
< 0.1%
9169.572
 
< 0.1%
6730.012
 
< 0.1%
9507.012
 
< 0.1%
11837.112
 
< 0.1%
7313.82
 
< 0.1%
Other values (4177)4178
99.5%
ValueCountFrequency (%)
4565.591
< 0.1%
4785.671
< 0.1%
48001
< 0.1%
4939.251
< 0.1%
5028.971
< 0.1%
5140.391
< 0.1%
5148.731
< 0.1%
5151.391
< 0.1%
5167.261
< 0.1%
5172.061
< 0.1%
ValueCountFrequency (%)
64511.211
< 0.1%
64288.81
< 0.1%
63749.191
< 0.1%
635751
< 0.1%
63363.291
< 0.1%
63331.831
< 0.1%
63159.981
< 0.1%
63056.611
< 0.1%
63045.021
< 0.1%
62997.021
< 0.1%

volume
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct4198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11532.75796
Minimum5.887034
Maximum121040.6765
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:00:57.636687image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum5.887034
5-th percentile3437.924687
Q16152.083613
median9321.788949
Q314081.94902
95-th percentile26735.66992
Maximum121040.6765
Range121034.7894
Interquartile range (IQR)7929.865404

Descriptive statistics

Standard deviation8765.097502
Coefficient of variation (CV)0.7600174679
Kurtosis20.74224081
Mean11532.75796
Median Absolute Deviation (MAD)3725.049633
Skewness3.309042296
Sum48414517.92
Variance76826934.22
MonotonicityNot monotonic
2021-06-24T21:00:57.810236image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9178.6225221
 
< 0.1%
14989.358951
 
< 0.1%
7354.0354941
 
< 0.1%
7043.6760821
 
< 0.1%
6491.8950021
 
< 0.1%
18542.831761
 
< 0.1%
2988.1278091
 
< 0.1%
5034.327931
 
< 0.1%
16338.473911
 
< 0.1%
9491.3723331
 
< 0.1%
Other values (4188)4188
99.8%
ValueCountFrequency (%)
5.8870341
< 0.1%
1227.368641
< 0.1%
1617.6596781
< 0.1%
1670.3606931
< 0.1%
1801.0040611
< 0.1%
1808.5761581
< 0.1%
1855.5700971
< 0.1%
1868.4408731
< 0.1%
1899.9835371
< 0.1%
1907.0279061
< 0.1%
ValueCountFrequency (%)
121040.67651
< 0.1%
118131.08091
< 0.1%
86060.16241
< 0.1%
76357.69271
< 0.1%
75541.205771
< 0.1%
74717.370411
< 0.1%
72865.868051
< 0.1%
68602.654371
< 0.1%
68283.644421
< 0.1%
65426.252841
< 0.1%

BB_MIDDLE
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4178
Distinct (%)> 99.9%
Missing19
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean19355.94169
Minimum5202.812
Maximum62890.338
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:00:57.927669image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum5202.812
5-th percentile6974.3697
Q18864.9925
median10320.4235
Q328476.7725
95-th percentile56833.8387
Maximum62890.338
Range57687.526
Interquartile range (IQR)19611.78

Descriptive statistics

Standard deviation16603.27994
Coefficient of variation (CV)0.8577872473
Kurtosis0.2382666726
Mean19355.94169
Median Absolute Deviation (MAD)2317.443
Skewness1.326678031
Sum80888480.34
Variance275668904.9
MonotonicityNot monotonic
2021-06-24T21:00:58.033923image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12000.0542
 
< 0.1%
11961.0681
 
< 0.1%
7294.67451
 
< 0.1%
9425.4031
 
< 0.1%
49519.82351
 
< 0.1%
7298.14751
 
< 0.1%
56252.79751
 
< 0.1%
6543.25751
 
< 0.1%
11644.5671
 
< 0.1%
10228.65251
 
< 0.1%
Other values (4168)4168
99.3%
(Missing)19
 
0.5%
ValueCountFrequency (%)
5202.8121
< 0.1%
5204.96451
< 0.1%
5205.0531
< 0.1%
5206.241
< 0.1%
5206.96551
< 0.1%
5207.6091
< 0.1%
5207.7041
< 0.1%
5207.7671
< 0.1%
5207.8861
< 0.1%
5208.1321
< 0.1%
ValueCountFrequency (%)
62890.3381
< 0.1%
62865.30651
< 0.1%
62847.28751
< 0.1%
62828.8991
< 0.1%
62769.5461
< 0.1%
62729.04751
< 0.1%
62697.811
< 0.1%
62627.1711
< 0.1%
62624.80951
< 0.1%
62481.69551
< 0.1%

BB_UPPER
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4178
Distinct (%)> 99.9%
Missing19
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean20437.86116
Minimum5642.335666
Maximum66299.1837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:00:58.146487image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum5642.335666
5-th percentile7298.924833
Q19234.115724
median10710.56993
Q330022.9603
95-th percentile59591.25033
Maximum66299.1837
Range60656.84804
Interquartile range (IQR)20788.84457

Descriptive statistics

Standard deviation17711.81793
Coefficient of variation (CV)0.8666179787
Kurtosis0.1227205607
Mean20437.86116
Median Absolute Deviation (MAD)2381.244578
Skewness1.298605276
Sum85409821.78
Variance313708494.2
MonotonicityNot monotonic
2021-06-24T21:00:58.254926image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12416.723432
 
< 0.1%
52988.538861
 
< 0.1%
13794.951971
 
< 0.1%
10406.051641
 
< 0.1%
34224.021481
 
< 0.1%
9316.6186611
 
< 0.1%
57492.42831
 
< 0.1%
9691.4347641
 
< 0.1%
8842.8777261
 
< 0.1%
40687.259731
 
< 0.1%
Other values (4168)4168
99.3%
(Missing)19
 
0.5%
ValueCountFrequency (%)
5642.3356661
< 0.1%
5648.3873251
< 0.1%
5650.4369531
< 0.1%
5650.7997631
< 0.1%
5651.0305641
< 0.1%
5651.1559521
< 0.1%
5651.5080331
< 0.1%
5652.1532441
< 0.1%
5655.5652271
< 0.1%
5655.7828281
< 0.1%
ValueCountFrequency (%)
66299.18371
< 0.1%
66281.675591
< 0.1%
66239.545151
< 0.1%
66012.541121
< 0.1%
65599.662361
< 0.1%
65560.874741
< 0.1%
65302.96221
< 0.1%
65286.435271
< 0.1%
65280.097481
< 0.1%
65265.287921
< 0.1%

BB_LOWER
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4178
Distinct (%)> 99.9%
Missing19
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean18274.02223
Minimum3969.848143
Maximum61093.78436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:00:58.365084image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum3969.848143
5-th percentile6618.80447
Q18558.575516
median9983.401639
Q326513.11328
95-th percentile53665.27929
Maximum61093.78436
Range57123.93622
Interquartile range (IQR)17954.53776

Descriptive statistics

Standard deviation15533.68662
Coefficient of variation (CV)0.8500420121
Kurtosis0.4194229224
Mean18274.02223
Median Absolute Deviation (MAD)2500.879014
Skewness1.369368876
Sum76367138.9
Variance241295420.2
MonotonicityNot monotonic
2021-06-24T21:00:58.513142image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11583.384572
 
< 0.1%
22363.722011
 
< 0.1%
13066.696231
 
< 0.1%
45069.029451
 
< 0.1%
9356.7666771
 
< 0.1%
10186.357641
 
< 0.1%
9798.3763691
 
< 0.1%
9111.1530091
 
< 0.1%
44812.279261
 
< 0.1%
11271.248981
 
< 0.1%
Other values (4168)4168
99.3%
(Missing)19
 
0.5%
ValueCountFrequency (%)
3969.8481431
< 0.1%
3973.2413881
< 0.1%
3973.3621321
< 0.1%
4016.612261
< 0.1%
4037.2195021
< 0.1%
4067.1815941
< 0.1%
4141.3360241
< 0.1%
4214.5516491
< 0.1%
4225.1905661
< 0.1%
4343.0340721
< 0.1%
ValueCountFrequency (%)
61093.784361
< 0.1%
60978.531071
< 0.1%
60957.336171
< 0.1%
60874.695641
< 0.1%
60759.915381
< 0.1%
60726.756241
< 0.1%
60682.611241
< 0.1%
60467.845161
< 0.1%
60464.6821
< 0.1%
60223.203511
< 0.1%

BBWIDTH
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct4178
Distinct (%)> 99.9%
Missing19
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.096465283
Minimum0.008357727586
Maximum0.7339990359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:00:58.650779image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0.008357727586
5-th percentile0.0258173937
Q10.04783029821
median0.07709788139
Q30.1235481091
95-th percentile0.2289448283
Maximum0.7339990359
Range0.7256413083
Interquartile range (IQR)0.07571781094

Descriptive statistics

Standard deviation0.0729227728
Coefficient of variation (CV)0.7559483633
Kurtosis14.15074429
Mean0.096465283
Median Absolute Deviation (MAD)0.03402449623
Skewness2.689945259
Sum403.1284177
Variance0.005317730793
MonotonicityNot monotonic
2021-06-24T21:00:58.795928image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.069444592182
 
< 0.1%
0.025130684311
 
< 0.1%
0.10894228771
 
< 0.1%
0.14809175781
 
< 0.1%
0.13744727161
 
< 0.1%
0.049379151621
 
< 0.1%
0.16478985371
 
< 0.1%
0.22611932911
 
< 0.1%
0.027356299071
 
< 0.1%
0.2149405051
 
< 0.1%
Other values (4168)4168
99.3%
(Missing)19
 
0.5%
ValueCountFrequency (%)
0.0083577275861
< 0.1%
0.0094089305841
< 0.1%
0.0094708704391
< 0.1%
0.0096261171471
< 0.1%
0.0096712431131
< 0.1%
0.0099395234221
< 0.1%
0.010007412791
< 0.1%
0.010298654221
< 0.1%
0.010464381491
< 0.1%
0.01059104321
< 0.1%
ValueCountFrequency (%)
0.73399903591
< 0.1%
0.73349432731
< 0.1%
0.73167514491
< 0.1%
0.72465462511
< 0.1%
0.71736796641
< 0.1%
0.71236628091
< 0.1%
0.69599875451
< 0.1%
0.687574111
< 0.1%
0.65748895881
< 0.1%
0.65424658971
< 0.1%

MACD
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct4198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.41073039
Minimum-2776.354455
Maximum2479.968227
Zeros1
Zeros (%)< 0.1%
Negative1828
Negative (%)43.5%
Memory size32.9 KiB
2021-06-24T21:00:58.934497image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-2776.354455
5-th percentile-868.1975938
Q1-70.19731588
median23.15813137
Q3152.6225856
95-th percentile914.4688355
Maximum2479.968227
Range5256.322682
Interquartile range (IQR)222.8199015

Descriptive statistics

Standard deviation520.4482576
Coefficient of variation (CV)12.87896191
Kurtosis5.536348242
Mean40.41073039
Median Absolute Deviation (MAD)107.4870751
Skewness-0.3338477248
Sum169644.2462
Variance270866.3888
MonotonicityNot monotonic
2021-06-24T21:00:59.063544image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01
 
< 0.1%
-98.892884691
 
< 0.1%
-30.544739521
 
< 0.1%
-2583.458811
 
< 0.1%
381.05946791
 
< 0.1%
165.05118251
 
< 0.1%
81.307013131
 
< 0.1%
141.33855831
 
< 0.1%
-334.35900341
 
< 0.1%
-19.177064191
 
< 0.1%
Other values (4188)4188
99.8%
ValueCountFrequency (%)
-2776.3544551
< 0.1%
-2758.2209611
< 0.1%
-2591.0193241
< 0.1%
-2586.8840931
< 0.1%
-2583.458811
< 0.1%
-2375.9740621
< 0.1%
-2337.8568841
< 0.1%
-2126.6622011
< 0.1%
-2115.7962231
< 0.1%
-2109.939641
< 0.1%
ValueCountFrequency (%)
2479.9682271
< 0.1%
2460.8447751
< 0.1%
2403.165241
< 0.1%
2401.9156341
< 0.1%
2355.7053321
< 0.1%
2299.3575691
< 0.1%
2294.4794221
< 0.1%
2173.4010511
< 0.1%
2170.4812711
< 0.1%
2163.4310151
< 0.1%

MACD_signal
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct4198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.93399708
Minimum-2448.656454
Maximum2160.899011
Zeros1
Zeros (%)< 0.1%
Negative1831
Negative (%)43.6%
Memory size32.9 KiB
2021-06-24T21:00:59.194572image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-2448.656454
5-th percentile-765.9629984
Q1-64.36286268
median23.4731615
Q3148.2575458
95-th percentile888.0237303
Maximum2160.899011
Range4609.555465
Interquartile range (IQR)212.6204085

Descriptive statistics

Standard deviation492.2074194
Coefficient of variation (CV)12.02441625
Kurtosis5.49546602
Mean40.93399708
Median Absolute Deviation (MAD)101.0298607
Skewness-0.362733432
Sum171840.9197
Variance242268.1437
MonotonicityNot monotonic
2021-06-24T21:00:59.443602image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01
 
< 0.1%
-408.58348551
 
< 0.1%
-39.698261041
 
< 0.1%
-241.48497951
 
< 0.1%
106.03946761
 
< 0.1%
77.468013721
 
< 0.1%
215.17617761
 
< 0.1%
-61.133207991
 
< 0.1%
8.516282581
 
< 0.1%
20.167884611
 
< 0.1%
Other values (4188)4188
99.8%
ValueCountFrequency (%)
-2448.6564541
< 0.1%
-2434.1199761
< 0.1%
-2414.9558651
< 0.1%
-2369.2839091
< 0.1%
-2329.1395911
< 0.1%
-2291.9291841
< 0.1%
-2217.3358751
< 0.1%
-2199.0084151
< 0.1%
-2123.9150131
< 0.1%
-2093.9523011
< 0.1%
ValueCountFrequency (%)
2160.8990111
< 0.1%
2137.1571991
< 0.1%
2127.5039081
< 0.1%
2087.3306541
< 0.1%
2070.4535521
< 0.1%
2012.9071591
< 0.1%
1987.5880311
< 0.1%
1983.5670411
< 0.1%
1980.195921
< 0.1%
1969.0443241
< 0.1%

RSI
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4196
Distinct (%)> 99.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean51.8919326
Minimum0
Maximum92.5906425
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:00:59.566092image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.30826919
Q142.92439468
median52.11899124
Q360.90790017
95-th percentile73.0963028
Maximum92.5906425
Range92.5906425
Interquartile range (IQR)17.98350549

Descriptive statistics

Standard deviation13.12975036
Coefficient of variation (CV)0.2530210324
Kurtosis-0.1288599896
Mean51.8919326
Median Absolute Deviation (MAD)9.021529632
Skewness-0.07641102919
Sum217790.4411
Variance172.3903446
MonotonicityNot monotonic
2021-06-24T21:00:59.687762image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63.662604072
 
< 0.1%
43.149722771
 
< 0.1%
42.750750041
 
< 0.1%
78.36492951
 
< 0.1%
43.261388831
 
< 0.1%
53.561793131
 
< 0.1%
42.942298581
 
< 0.1%
56.526381971
 
< 0.1%
29.172256471
 
< 0.1%
53.994301281
 
< 0.1%
Other values (4186)4186
99.7%
ValueCountFrequency (%)
01
< 0.1%
7.7283380231
< 0.1%
9.3076524511
< 0.1%
9.5004228861
< 0.1%
10.795674331
< 0.1%
13.148532451
< 0.1%
14.031218771
< 0.1%
14.616193931
< 0.1%
14.658311481
< 0.1%
14.689261531
< 0.1%
ValueCountFrequency (%)
92.59064251
< 0.1%
90.453318621
< 0.1%
89.320135891
< 0.1%
88.844026871
< 0.1%
88.804544311
< 0.1%
87.958013981
< 0.1%
87.713997071
< 0.1%
87.704353781
< 0.1%
86.343973121
< 0.1%
85.855327761
< 0.1%

BBp
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4179
Distinct (%)100.0%
Missing19
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.5347176292
Minimum-0.5037401995
Maximum1.504403038
Zeros0
Zeros (%)0.0%
Negative227
Negative (%)5.4%
Memory size32.9 KiB
2021-06-24T21:00:59.811224image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-0.5037401995
5-th percentile-0.02084474445
Q10.2882864449
median0.5539983512
Q30.7841181674
95-th percentile1.051935555
Maximum1.504403038
Range2.008143237
Interquartile range (IQR)0.4958317224

Descriptive statistics

Standard deviation0.3329604686
Coefficient of variation (CV)0.6226846666
Kurtosis-0.553070789
Mean0.5347176292
Median Absolute Deviation (MAD)0.2498776855
Skewness-0.1173978681
Sum2234.584972
Variance0.1108626737
MonotonicityNot monotonic
2021-06-24T21:00:59.936860image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.49468332071
 
< 0.1%
1.2496599171
 
< 0.1%
0.87206701451
 
< 0.1%
0.49703956561
 
< 0.1%
0.74209692831
 
< 0.1%
0.76401507941
 
< 0.1%
0.38420966531
 
< 0.1%
0.45784994661
 
< 0.1%
0.28052927861
 
< 0.1%
0.99432285061
 
< 0.1%
Other values (4169)4169
99.3%
(Missing)19
 
0.5%
ValueCountFrequency (%)
-0.50374019951
< 0.1%
-0.48147613421
< 0.1%
-0.42407548871
< 0.1%
-0.41131363881
< 0.1%
-0.38624896421
< 0.1%
-0.38425672721
< 0.1%
-0.37250853811
< 0.1%
-0.36567687641
< 0.1%
-0.35008349911
< 0.1%
-0.34157316281
< 0.1%
ValueCountFrequency (%)
1.5044030381
< 0.1%
1.4792204851
< 0.1%
1.4624158511
< 0.1%
1.4458387281
< 0.1%
1.4272226251
< 0.1%
1.3987587431
< 0.1%
1.3961420211
< 0.1%
1.3935020051
< 0.1%
1.3520885911
< 0.1%
1.3496154491
< 0.1%

ADX
Real number (ℝ≥0)

HIGH CORRELATION

Distinct4184
Distinct (%)100.0%
Missing14
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean29.4324298
Minimum9.790051973
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:01:00.074994image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum9.790051973
5-th percentile15.39738374
Q120.49744475
median26.92796345
Q335.82966351
95-th percentile53.30174189
Maximum100
Range90.20994803
Interquartile range (IQR)15.33221876

Descriptive statistics

Standard deviation11.73977887
Coefficient of variation (CV)0.3988722286
Kurtosis1.035863635
Mean29.4324298
Median Absolute Deviation (MAD)7.193881178
Skewness1.078791121
Sum123145.2863
Variance137.8224079
MonotonicityNot monotonic
2021-06-24T21:01:00.193718image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.850846261
 
< 0.1%
26.677896821
 
< 0.1%
36.354960551
 
< 0.1%
34.809395441
 
< 0.1%
19.336616081
 
< 0.1%
22.781796631
 
< 0.1%
19.365579951
 
< 0.1%
37.655211111
 
< 0.1%
22.636996891
 
< 0.1%
53.732105811
 
< 0.1%
Other values (4174)4174
99.4%
(Missing)14
 
0.3%
ValueCountFrequency (%)
9.7900519731
< 0.1%
9.8251059621
< 0.1%
9.9897997021
< 0.1%
10.065171141
< 0.1%
10.10834331
< 0.1%
10.117734491
< 0.1%
10.323702881
< 0.1%
10.558987711
< 0.1%
10.632869341
< 0.1%
10.653191271
< 0.1%
ValueCountFrequency (%)
1001
< 0.1%
72.498363121
< 0.1%
71.770546751
< 0.1%
71.728147331
< 0.1%
71.063080881
< 0.1%
70.986744511
< 0.1%
70.531206811
< 0.1%
70.175866611
< 0.1%
70.037323751
< 0.1%
69.850108861
< 0.1%

DMIp
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4185
Distinct (%)100.0%
Missing13
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean21.24197212
Minimum0
Maximum86.01234091
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:01:00.316009image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.564563854
Q114.24704139
median19.34602459
Q325.97962645
95-th percentile39.22641997
Maximum86.01234091
Range86.01234091
Interquartile range (IQR)11.73258506

Descriptive statistics

Standard deviation9.74697043
Coefficient of variation (CV)0.4588543087
Kurtosis3.677851698
Mean21.24197212
Median Absolute Deviation (MAD)5.680710152
Skewness1.456294144
Sum88897.65331
Variance95.00343257
MonotonicityNot monotonic
2021-06-24T21:01:00.431321image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.305705031
 
< 0.1%
9.0155388961
 
< 0.1%
26.366861171
 
< 0.1%
28.26677181
 
< 0.1%
22.416271851
 
< 0.1%
25.206977221
 
< 0.1%
24.179189321
 
< 0.1%
15.476775391
 
< 0.1%
22.986171431
 
< 0.1%
22.074687541
 
< 0.1%
Other values (4175)4175
99.5%
(Missing)13
 
0.3%
ValueCountFrequency (%)
01
< 0.1%
4.4210299831
< 0.1%
4.7611092131
< 0.1%
5.1273483831
< 0.1%
5.1983299311
< 0.1%
5.221442031
< 0.1%
5.3162746161
< 0.1%
5.5217597971
< 0.1%
5.5982014651
< 0.1%
5.623198931
< 0.1%
ValueCountFrequency (%)
86.012340911
< 0.1%
79.868602281
< 0.1%
76.704637881
< 0.1%
76.198407821
< 0.1%
74.163702111
< 0.1%
73.95026481
< 0.1%
73.529854891
< 0.1%
73.210809051
< 0.1%
70.75566441
< 0.1%
68.866294821
< 0.1%

DMIm
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4184
Distinct (%)> 99.9%
Missing13
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean21.23961569
Minimum0
Maximum85.87260903
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:01:00.552306image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.592997255
Q114.51200537
median19.41125883
Q326.07077568
95-th percentile39.14930927
Maximum85.87260903
Range85.87260903
Interquartile range (IQR)11.55877031

Descriptive statistics

Standard deviation9.624532031
Coefficient of variation (CV)0.4531405922
Kurtosis3.820069387
Mean21.23961569
Median Absolute Deviation (MAD)5.607191085
Skewness1.403828539
Sum88887.79166
Variance92.63161681
MonotonicityNot monotonic
2021-06-24T21:01:00.667006image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02
 
< 0.1%
29.92090891
 
< 0.1%
17.257739811
 
< 0.1%
24.011647741
 
< 0.1%
14.840434521
 
< 0.1%
28.029103771
 
< 0.1%
42.172730361
 
< 0.1%
15.970735711
 
< 0.1%
19.929040781
 
< 0.1%
18.424628661
 
< 0.1%
Other values (4174)4174
99.4%
(Missing)13
 
0.3%
ValueCountFrequency (%)
02
< 0.1%
2.5476694291
< 0.1%
2.7436440011
< 0.1%
2.9546935391
< 0.1%
3.1819776581
< 0.1%
3.426745171
< 0.1%
3.5014965641
< 0.1%
3.6241025571
< 0.1%
3.7708424531
< 0.1%
3.9028796771
< 0.1%
ValueCountFrequency (%)
85.872609031
< 0.1%
84.084705721
< 0.1%
83.123597551
< 0.1%
79.738851241
< 0.1%
77.186197731
< 0.1%
75.795054371
< 0.1%
74.043219011
< 0.1%
71.672897891
< 0.1%
70.524806341
< 0.1%
70.381121911
< 0.1%

STOCH_K
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4183
Distinct (%)> 99.9%
Missing13
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean55.06740326
Minimum0.4652045951
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:01:00.784835image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0.4652045951
5-th percentile12.50631694
Q133.0195122
median55.87128395
Q378.71779469
95-th percentile93.71494238
Maximum100
Range99.5347954
Interquartile range (IQR)45.69828249

Descriptive statistics

Standard deviation26.41858009
Coefficient of variation (CV)0.4797498796
Kurtosis-1.177421492
Mean55.06740326
Median Absolute Deviation (MAD)22.85177176
Skewness-0.1261490219
Sum230457.0827
Variance697.9413738
MonotonicityNot monotonic
2021-06-24T21:01:00.902873image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1003
 
0.1%
88.890879771
 
< 0.1%
10.749398451
 
< 0.1%
5.1641830071
 
< 0.1%
20.670886081
 
< 0.1%
34.728554641
 
< 0.1%
13.849333331
 
< 0.1%
47.26637991
 
< 0.1%
84.673294061
 
< 0.1%
13.709556211
 
< 0.1%
Other values (4173)4173
99.4%
(Missing)13
 
0.3%
ValueCountFrequency (%)
0.46520459511
< 0.1%
0.66006884681
< 0.1%
1.3991890241
< 0.1%
1.6903354261
< 0.1%
1.734667361
< 0.1%
1.7475703651
< 0.1%
1.782971781
< 0.1%
1.8809212581
< 0.1%
1.9238303811
< 0.1%
2.084989841
< 0.1%
ValueCountFrequency (%)
1003
0.1%
99.989813331
 
< 0.1%
99.958977281
 
< 0.1%
99.813178231
 
< 0.1%
99.752138761
 
< 0.1%
99.731239091
 
< 0.1%
99.596826851
 
< 0.1%
99.478853061
 
< 0.1%
99.315742411
 
< 0.1%
99.27577281
 
< 0.1%

STOCH_D
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4183
Distinct (%)100.0%
Missing15
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean55.06784898
Minimum4.567169694
Maximum97.45793485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:01:01.020742image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum4.567169694
5-th percentile16.12754564
Q134.12412878
median55.76581767
Q377.46245276
95-th percentile90.5975621
Maximum97.45793485
Range92.89076515
Interquartile range (IQR)43.33832399

Descriptive statistics

Standard deviation24.55945362
Coefficient of variation (CV)0.445985345
Kurtosis-1.245913836
Mean55.06784898
Median Absolute Deviation (MAD)21.67146217
Skewness-0.1119927179
Sum230348.8123
Variance603.1667623
MonotonicityNot monotonic
2021-06-24T21:01:01.255546image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.666654651
 
< 0.1%
27.388711311
 
< 0.1%
86.778364311
 
< 0.1%
74.552075231
 
< 0.1%
42.150865161
 
< 0.1%
89.835654121
 
< 0.1%
69.790737461
 
< 0.1%
18.00655171
 
< 0.1%
90.342385831
 
< 0.1%
49.062967861
 
< 0.1%
Other values (4173)4173
99.4%
(Missing)15
 
0.4%
ValueCountFrequency (%)
4.5671696941
< 0.1%
6.1208371421
< 0.1%
6.182516761
< 0.1%
6.4092493461
< 0.1%
6.5926593131
< 0.1%
6.614229931
< 0.1%
6.8132274581
< 0.1%
6.9975354941
< 0.1%
7.0168502851
< 0.1%
7.0709745441
< 0.1%
ValueCountFrequency (%)
97.457934851
< 0.1%
97.363443121
< 0.1%
97.309429911
< 0.1%
96.753634131
< 0.1%
96.721685961
< 0.1%
96.54875121
< 0.1%
96.335357821
< 0.1%
96.263372851
< 0.1%
96.228818181
< 0.1%
96.029349911
< 0.1%

OBV
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4196
Distinct (%)100.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean774370.2794
Minimum-296003.6179
Maximum2282056.148
Zeros0
Zeros (%)0.0%
Negative1093
Negative (%)26.0%
Memory size32.9 KiB
2021-06-24T21:01:01.371428image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-296003.6179
5-th percentile-202908.7003
Q1-7215.196762
median617261.842
Q31580369.716
95-th percentile2181168.42
Maximum2282056.148
Range2578059.766
Interquartile range (IQR)1587584.912

Descriptive statistics

Standard deviation810915.7713
Coefficient of variation (CV)1.04719382
Kurtosis-1.164265194
Mean774370.2794
Median Absolute Deviation (MAD)644983.4174
Skewness0.4699946005
Sum3249257692
Variance6.575843881 × 1011
MonotonicityNot monotonic
2021-06-24T21:01:01.488262image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2132365.1171
 
< 0.1%
799352.87951
 
< 0.1%
-259656.4421
 
< 0.1%
89645.183191
 
< 0.1%
78318.597481
 
< 0.1%
1240068.2521
 
< 0.1%
583136.08741
 
< 0.1%
664298.39931
 
< 0.1%
1223022.8361
 
< 0.1%
-140035.15271
 
< 0.1%
Other values (4186)4186
99.7%
(Missing)2
 
< 0.1%
ValueCountFrequency (%)
-296003.61791
< 0.1%
-294106.85271
< 0.1%
-291013.85221
< 0.1%
-284328.83631
< 0.1%
-283940.23061
< 0.1%
-281897.51511
< 0.1%
-277296.30681
< 0.1%
-272343.25211
< 0.1%
-269152.11351
< 0.1%
-268188.77281
< 0.1%
ValueCountFrequency (%)
2282056.1481
< 0.1%
2278861.7311
< 0.1%
2278611.0831
< 0.1%
2275997.7121
< 0.1%
2274136.3931
< 0.1%
2270294.6371
< 0.1%
2269310.4841
< 0.1%
2267903.561
< 0.1%
2266794.6711
< 0.1%
2266687.4751
< 0.1%

buy@
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct84
Distinct (%)100.0%
Missing4114
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean17482.2319
Minimum4565.59
Maximum57051.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:01:01.599644image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum4565.59
5-th percentile6262.9745
Q18451.61
median9778.6
Q319649.3525
95-th percentile53149.0115
Maximum57051.94
Range52486.35
Interquartile range (IQR)11197.7425

Descriptive statistics

Standard deviation15341.33169
Coefficient of variation (CV)0.8775385075
Kurtosis0.7661942039
Mean17482.2319
Median Absolute Deviation (MAD)2196.67
Skewness1.482897392
Sum1468507.48
Variance235356458.1
MonotonicityNot monotonic
2021-06-24T21:01:01.722187image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6675.521
 
< 0.1%
54272.861
 
< 0.1%
53200.011
 
< 0.1%
7794.421
 
< 0.1%
50996.151
 
< 0.1%
10241.461
 
< 0.1%
10436.631
 
< 0.1%
4565.591
 
< 0.1%
9259.781
 
< 0.1%
7410.881
 
< 0.1%
Other values (74)74
 
1.8%
(Missing)4114
98.0%
ValueCountFrequency (%)
4565.591
< 0.1%
48001
< 0.1%
5816.191
< 0.1%
5881.421
< 0.1%
6200.811
< 0.1%
6615.241
< 0.1%
6621.241
< 0.1%
6672.011
< 0.1%
6675.521
< 0.1%
6768.881
< 0.1%
ValueCountFrequency (%)
57051.941
< 0.1%
55953.451
< 0.1%
54272.861
< 0.1%
53308.921
< 0.1%
53200.011
< 0.1%
52860.021
< 0.1%
50996.151
< 0.1%
49066.771
< 0.1%
47942.441
< 0.1%
47267.881
< 0.1%

sell@
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct91
Distinct (%)100.0%
Missing4107
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean18536.92571
Minimum6659.99
Maximum64511.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.9 KiB
2021-06-24T21:01:01.873652image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum6659.99
5-th percentile7253.54
Q19299.01
median10843
Q319453.15
95-th percentile59072.315
Maximum64511.21
Range57851.22
Interquartile range (IQR)10154.14

Descriptive statistics

Standard deviation15865.43213
Coefficient of variation (CV)0.8558825975
Kurtosis1.54607967
Mean18536.92571
Median Absolute Deviation (MAD)2408.98
Skewness1.663407566
Sum1686860.24
Variance251711936.7
MonotonicityNot monotonic
2021-06-24T21:01:01.998149image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7807.991
 
< 0.1%
6659.991
 
< 0.1%
59869.791
 
< 0.1%
39876.981
 
< 0.1%
10901.91
 
< 0.1%
8276.161
 
< 0.1%
41286.671
 
< 0.1%
19358.571
 
< 0.1%
8332.471
 
< 0.1%
7258.481
 
< 0.1%
Other values (81)81
 
1.9%
(Missing)4107
97.8%
ValueCountFrequency (%)
6659.991
< 0.1%
67931
< 0.1%
7004.421
< 0.1%
7112.131
< 0.1%
7248.61
< 0.1%
7258.481
< 0.1%
7277.831
< 0.1%
7381.011
< 0.1%
7473.051
< 0.1%
75461
< 0.1%
ValueCountFrequency (%)
64511.211
< 0.1%
61356.311
< 0.1%
59869.791
< 0.1%
59533.681
< 0.1%
59356.761
< 0.1%
58787.871
< 0.1%
58072.621
< 0.1%
51666.331
< 0.1%
41286.671
< 0.1%
40685.371
< 0.1%

Interactions

2021-06-24T21:00:15.225442image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:15.319483image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:15.408277image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:15.496707image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:15.583638image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:15.676102image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:15.766816image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:15.855388image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:15.944947image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:16.126909image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:16.211954image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:16.299180image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:16.386362image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:16.480794image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:16.565065image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:16.650549image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:16.734964image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:16.823126image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:16.912832image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:16.997296image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:17.072061image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:17.147109image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:17.235013image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:17.325232image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:17.413967image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:17.500737image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:17.591876image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:17.681773image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:17.772624image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:17.859624image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:17.952410image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:18.040852image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:18.125976image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:18.301150image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:18.401510image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:18.491831image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:18.575042image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:18.658977image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:18.743589image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:18.831596image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:18.916267image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:18.994478image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:19.068887image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:19.156379image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:19.242774image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:19.329277image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:19.414490image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:19.505328image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:19.592031image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:19.679878image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:19.768584image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:19.858163image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:19.942829image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:20.027819image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:20.114159image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:20.205898image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:20.290206image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:20.468017image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:20.552534image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:20.639151image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:20.725025image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:20.812034image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:20.880145image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:20.953194image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:21.039449image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:21.126407image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:21.211838image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:21.299123image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:21.390248image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:21.479135image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:21.566757image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:21.656228image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:21.747401image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:21.835567image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:21.921081image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:22.004894image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:22.098753image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:22.182220image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:22.266611image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:22.355856image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:22.443314image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:22.623845image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:22.711682image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:22.784037image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:22.857817image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:22.949268image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:23.038188image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:23.128454image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:23.217405image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:23.310244image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:23.399984image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:23.491849image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:23.582374image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:23.677600image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:23.770578image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:23.858168image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:23.944022image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:24.057192image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:24.143823image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:24.229847image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:24.318576image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:24.409664image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:24.503703image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:24.590239image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:24.667468image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:24.835984image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:24.923336image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:25.011442image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:25.101338image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:25.188946image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:25.279542image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:25.366154image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:25.452605image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:25.540837image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:25.631613image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:25.719511image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:25.806845image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:25.889630image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:25.980785image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:26.067726image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:26.159650image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:26.244318image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:26.343992image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:26.439019image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:26.525882image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:26.597041image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:26.671890image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:26.763141image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:26.853370image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:27.038506image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:27.126454image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:27.216875image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:27.305810image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:27.393395image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:27.479305image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:27.569835image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:27.658981image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:27.762834image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:27.849112image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:27.950245image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:28.044080image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:28.144430image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:28.236748image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:28.350683image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:28.483171image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:28.582309image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:28.664389image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:28.752834image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:28.893881image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:29.006946image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:29.119264image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:29.225525image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:29.333890image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:29.558617image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:29.660529image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:29.771348image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:29.886983image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:29.990563image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:30.100116image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:30.208832image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:30.327756image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:30.435118image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:30.565265image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:30.653867image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:30.741463image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:30.834832image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:30.920890image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:31.006331image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:31.097887image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:31.204537image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:31.303697image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:31.394981image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:31.489533image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:31.583544image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:31.678252image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:31.775442image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:31.867355image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:32.056121image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:32.150181image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:32.245546image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:32.337043image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:32.438267image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:32.535219image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:32.632577image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:32.722295image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:32.815542image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:32.906962image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:32.997357image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:33.066388image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:33.148394image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:33.235005image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:33.322073image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:33.407633image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:33.492467image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:33.583199image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:33.670690image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:33.760225image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:33.846917image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:33.936417image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:34.052593image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:34.226873image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:34.309477image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:34.405205image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:34.493037image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:34.575041image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:34.659560image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:34.746282image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:34.833738image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:34.916827image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:34.987805image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:35.055924image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:35.138492image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:35.221305image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:35.306554image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:35.389494image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:35.474509image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:35.558589image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:35.645675image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:35.731114image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:35.820637image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:35.903553image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:35.984235image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:36.064460image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:36.153586image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:36.234896image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:36.413004image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:36.505333image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:36.591951image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:36.674688image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:36.760018image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:36.828696image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:36.898936image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:36.982981image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:37.064762image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:37.147810image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:37.230320image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:37.316297image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:37.396753image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:37.477192image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:37.558122image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:37.643987image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:37.725292image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:37.811557image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:37.889958image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:37.978222image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:38.060557image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:38.137909image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:38.213144image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:38.294647image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:38.376953image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:38.556412image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:38.624292image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:38.694864image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:38.792821image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:38.889538image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:38.983949image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:39.078265image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:39.176016image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:39.275707image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:39.370492image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:39.466213image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:39.564554image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:39.659782image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:39.754293image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:39.846049image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:39.962080image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:40.058446image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:40.159755image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:40.250621image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:40.346887image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:40.441854image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:40.537023image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:40.604808image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:40.771847image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:40.855418image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:40.940603image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:41.023572image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:41.107546image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:41.191706image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:41.282474image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:41.370660image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:41.458751image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:41.551848image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:41.634519image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:41.715127image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:41.797855image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:41.895276image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:41.974456image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:42.061597image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:42.141844image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:42.224373image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:42.312612image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:42.396055image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:42.470615image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:42.538026image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:42.619775image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:42.702779image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:42.879376image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:42.964336image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:43.049688image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:43.144526image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:43.238950image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:43.335243image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:43.432406image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:43.514946image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:43.595852image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:43.675103image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:43.778840image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:43.871413image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:43.951552image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:44.030764image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:44.113287image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:44.206638image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:44.287115image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:44.363915image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:44.435528image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:44.520648image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:44.603047image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:44.684821image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:44.768842image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:44.852822image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:45.025862image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:45.110478image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:45.193459image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:45.281492image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:45.363790image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:45.444894image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:45.522059image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:45.609577image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:45.690325image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:45.772173image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:45.851720image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:45.934385image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:46.017129image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:46.099370image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:46.175329image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:46.247420image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:46.333800image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:46.423984image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:46.513486image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:46.602000image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:46.690435image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:46.779031image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:46.866853image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:46.956239image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:47.141250image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:47.225642image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:47.311619image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:47.392138image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:47.484533image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:47.566379image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:47.650764image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:47.737295image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:47.835198image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:47.929380image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:48.025832image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:48.099958image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:48.176720image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:48.268121image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:48.362998image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:48.450228image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:48.540294image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:48.629060image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:48.723072image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:48.824053image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:48.922803image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:49.031399image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:49.119223image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:49.203926image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:49.373717image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:49.464988image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:49.552279image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:49.645711image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:49.730577image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:49.820396image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:49.908716image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:49.996224image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:50.067683image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:50.139780image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:50.224322image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:50.311763image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:50.403456image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:50.498734image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:50.584879image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:50.679632image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:50.770913image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:50.861415image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:50.958212image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:51.045404image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:51.129775image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:51.210687image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:51.300306image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:51.380300image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:51.560446image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:51.646666image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:51.729503image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:51.816180image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:51.901997image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:51.974317image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:52.048273image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:52.123130image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:52.192219image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:52.259389image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:52.327813image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:52.402090image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:52.479287image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:52.548892image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:52.622775image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:52.691735image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:52.765671image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:52.839404image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:52.911512image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:52.980466image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:53.054295image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:53.132313image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:53.206486image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:53.277407image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:53.347847image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:53.541065image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:53.614453image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:53.687724image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:53.775897image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:53.861804image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:53.949757image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:54.029679image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:54.105255image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:54.177836image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:54.255233image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:54.336321image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:54.419960image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:54.497833image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:54.568918image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:54.641036image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:54.710761image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:54.781310image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:54.851429image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:54.923266image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:54.998852image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:55.066131image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:55.138623image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-24T21:00:55.204314image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Correlations

2021-06-24T21:01:02.126140image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-06-24T21:01:02.316720image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-06-24T21:01:02.520915image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-06-24T21:01:02.715920image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2021-06-24T21:00:55.470925image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
A simple visualization of nullity by column.
2021-06-24T21:00:55.794209image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2021-06-24T21:00:56.013136image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2021-06-24T21:00:56.214834image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

datetimeopenhighlowclosevolumeBB_MIDDLEBB_UPPERBB_LOWERBBWIDTHMACDMACD_signalRSIBBpADXDMIpDMImSTOCH_KSTOCH_DOBVbuy@sell@
02019-07-25 22:00:009857.219949.999798.899879.874221.586793NaNNaNNaNNaN0.0000000.000000NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
12019-07-26 02:00:009882.159882.159637.009697.007912.265527NaNNaNNaNNaN-4.102853-2.2793630.000000NaNNaNNaNNaNNaNNaN-7912.265527NaNNaN
22019-07-26 06:00:009694.639789.829657.009764.363499.994913NaNNaNNaNNaN-3.139019-2.63168128.401825NaNNaNNaNNaNNaNNaN-4412.270614NaNNaN
32019-07-26 10:00:009764.189815.009735.899791.643511.865360NaNNaNNaNNaN-1.638785-2.29533436.293302NaNNaNNaNNaNNaNNaN-900.405254NaNNaN
42019-07-26 14:00:009791.339852.499704.009794.014517.891533NaNNaNNaNNaN-0.694772-1.81920336.943544NaNNaNNaNNaNNaNNaN3617.486279NaNNaN
52019-07-26 18:00:009794.019889.989737.169839.004431.858952NaNNaNNaNNaN1.809566-0.83560547.829505NaNNaNNaNNaNNaNNaN8049.345231NaNNaN
62019-07-26 22:00:009838.989860.009738.009824.003293.586932NaNNaNNaNNaN2.7049280.06040945.037771NaNNaNNaNNaNNaNNaN4755.758299NaNNaN
72019-07-27 02:00:009824.0010188.669815.0010103.0010046.036243NaNNaNNaNNaN16.5309904.01860074.662034NaNNaNNaNNaNNaNNaN14801.794542NaN10103.0
82019-07-27 06:00:0010103.0210118.5510025.1610055.333131.486206NaNNaNNaNNaN23.4886708.51628367.925427NaNNaNNaNNaNNaNNaN11670.308336NaNNaN
92019-07-27 10:00:0010057.3210088.009440.009525.8113484.420134NaNNaNNaNNaN0.8073006.78902332.666624NaNNaNNaNNaNNaNNaN-1814.111798NaNNaN

Last rows

datetimeopenhighlowclosevolumeBB_MIDDLEBB_UPPERBB_LOWERBBWIDTHMACDMACD_signalRSIBBpADXDMIpDMImSTOCH_KSTOCH_DOBVbuy@sell@
41882021-06-23 06:00:0033969.6934392.1033574.1133982.2618440.42542633455.052036267.09856730643.0054330.168109-883.326824-1132.20943749.5207610.59374143.58850717.99773934.24522474.54658065.1521851.679120e+06NaNNaN
41892021-06-23 10:00:0033982.2634500.0033650.2133911.3918341.76516933374.259536023.78222630724.7367740.158776-754.343978-1056.63634649.0996560.60136442.60489617.19122031.79913786.24464277.0600821.660779e+06NaNNaN
41902021-06-23 14:00:0033911.4034881.0033400.3033490.1428265.87314533266.881035694.98305230838.7789480.145977-678.296518-980.96838046.5649640.54597441.34457417.73163629.52777077.10895379.3000581.632513e+06NaNNaN
41912021-06-23 18:00:0033490.1433947.1732870.9932879.9716689.64372833217.234535633.74018030800.7288200.145497-659.659830-916.70667043.0946730.43021640.46866716.46509129.96899067.06665676.8067501.615823e+06NaNNaN
41922021-06-23 22:00:0032882.5033785.2632749.0133678.0712525.74853133180.002535540.60444530819.4005550.142291-573.874848-848.14030648.5009350.60549639.72429015.28901328.42347780.20194274.7925171.628349e+06NaNNaN
41932021-06-24 02:00:0033675.0733879.9932339.8232589.2014734.38687833034.321535136.86155330931.7814470.127294-586.985932-795.90943142.5600670.39414739.26122114.19694128.33518062.28110669.8499011.613615e+06NaNNaN
41942021-06-24 06:00:0032589.2033280.5532286.5732853.7413051.05590832897.000534618.08620631175.9147940.104635-569.465945-750.62073444.3437340.48743238.86236113.18287326.57078966.63495769.7060021.626666e+06NaNNaN
41952021-06-24 10:00:0032853.7433930.2332820.6133850.7713506.33742932857.057534438.27643531275.8385650.096248-469.714662-694.43952050.5733680.81422437.70280215.56715024.67287583.04427370.6534451.640172e+06NaNNaN
41962021-06-24 14:00:0033850.7834583.5833756.0433886.5218730.79426732900.108534546.19193231254.0250680.100066-383.357222-632.22306050.7860790.79962435.91302017.76656022.91052783.63265377.7706281.658903e+06NaNNaN
41972021-06-24 18:00:0033888.8135298.0033751.0034907.6516553.96378633019.463034881.65251731157.2734830.112793-229.871852-551.75281956.5393381.00698033.54724420.11831921.27406193.98814186.8883561.675457e+06NaN34907.65